You can master Computer Vision, Deep Learning, and OpenCV - PyImageSearch
I publish a brand new Computer Vision, Deep Learning, and OpenCV tutorial every Monday at 10AM EST. Here you'll find my most recent tutorials and guides.
In this tutorial, you will learn how to perform template matching using OpenCV and the cv2.matchTemplate function. Other than contour filtering and processing, template matching is arguably one of the most simple forms of object detection: It’s simple to implement,…
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In this tutorial, you will learn how to generate image batches of (1) normal images and (2) adversarial images during the training process. Doing so improves your model’s ability to generalize and defend against adversarial attacks. Last week we learned…
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In this tutorial, you will learn how to defend against adversarial image attacks using Keras and TensorFlow. So far, you have learned how to generate adversarial images using three different methods: Adversarial images and attacks with Keras and TensorFlow Targeted…
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In this blog post, I interview computer vision and deep learning engineer, Anthony Lowhur. Anthony shares the algorithms and techniques that he used to build a computer vision and deep learning system capable of recognizing 10,000+ Yugioh trading cards. I…
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In this tutorial, you will learn how to perform adversarial attacks using the Fast Gradient Sign Method (FGSM). We will implement FGSM using Keras and TensorFlow. Previously, we learned how to implement two forms of adversarial image attacks: Untargeted adversarial…
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In this tutorial, you will learn how to perform connected component labeling and analysis with OpenCV. Specifically, we will focus on OpenCV’s most used connected component labeling function, cv2.connectedComponentsWithStats. Connected component labeling (also known as connected component analysis, blob extraction,…
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In this tutorial, you will learn how to perform automatic color correction with OpenCV using a color matching/balancing card. Last week we discovered how to perform histogram matching. Using histogram matching, we can take the color distribution of one image…
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In this post, I interview Vince DiMascio, CIO/CTO of Berry Appleman & Leiden (BAL), a law firm specializing in corporate immigration. BAL is using computer vision, machine learning, and artificial intelligence to automatically classify immigration documents, thus helping expedite the…
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In this tutorial, you will learn how to perform histogram matching using OpenCV and scikit-image. Last week we discussed histogram equalization, a basic image processing technique that can improve the contrast of an input image. But what if you wanted…
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